Home > System Identification > 14th IFAC Symposium on System Identification, 2006 > A modified least square algorithm improving Jiles Atherton hysteresis model identification
A modified least square algorithm improving Jiles Atherton hysteresis model identification
System Identification, Volume # 14 | Part# 1
Location: , Australia
National Organizing Committee Chair: Brett Ninness,
Håkan Hjalmarsson
International Program Committee Chair: Iven Mareels
Conference Editor: Brett Ninness,
Håkan Hjalmarsson
Authors
Erik Etien; Damien Halber; Gerard Champenois; Regis Ouvrard
Identifier
10.3182/20060329-3-AU-2901.00018
Index Terms
magnetic hysteresis,Jiles-Atherton model,least square identification,convergence improvement
Abstract
Jiles Atherton model is described in discrete form. Least square identification is improved using normalization of sensibility functions. Experimental tries validate the proposed method.
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